YoVDO

Conversation on the Paper "Persistent Extension and Analogous Bars" by Yoon, Ghrist, Giusti

Offered By: Applied Algebraic Topology Network via YouTube

Tags

Topological Data Analysis Courses Data Analysis Courses Algebraic Topology Courses

Course Description

Overview

Explore a research conversation delving into the paper "Persistent Extension and Analogous Bars: Data-Induced Relations Between Persistence Barcodes" by Yoon, Ghrist, and Giusti. Learn about topological analysis, witness complexes, and the Extension Method as Chad Giusti discusses the paper's key concepts with Henry Adams, Chad Topaz, and Lori Ziegelmeier. Gain insights into the Docker Theorem, data size considerations, and practical tips for applying these concepts in non-topologist contexts. This 52-minute discussion, hosted by the Applied Algebraic Topology Network, offers a deep dive into cutting-edge research in persistent homology and its applications to data analysis.

Syllabus

Introduction
About the paper
Abstract
Question
topological analysis
two point clouds
Robert Christ
Witness Complex
Extension Method
Final Output
Matching Bars
Docker Theorem
Nontopologist context
Data size
Tips for users
Conclusion


Taught by

Applied Algebraic Topology Network

Related Courses

Topological Data Analysis - New Perspectives on Machine Learning - by Jesse Johnson
Open Data Science via YouTube
Analyzing Point Processes Using Topological Data Analysis
Applied Algebraic Topology Network via YouTube
MD Simulations and Machine Learning to Quantify Interfacial Hydrophobicity
Applied Algebraic Topology Network via YouTube
Topological Data Analysis of Plant-Pollinator Resource Complexes - Melinda Kleczynski
Applied Algebraic Topology Network via YouTube
Hubert Wagner - Topological Data Analysis in Non-Euclidean Spaces
Applied Algebraic Topology Network via YouTube